Search Results for "simple decision tree"

...In the first chapter algorithms that produce simple, interpretable models are introduced together with instructions how to interpret the output. The later chapters focus on analyzing complex models and their decisions. In an ideal future, machines will be able to explain their decisions and make a transition into an algorithmic age more human.

This is a tool for teaching simplex and branch & bound methods. For simplex method, it comes with several examples including degeneracy and cycling, and allow the user to dictate how to pivot. For branch and bound method, it is desinged to interact with the user to explore all possible branch and bound trees. The user can also load a problem from a text file or simply type in a model directly. The format is very simple and very similar to the LP format, see the packed-in examples.